Quarto Workshop

Author
Affiliation

Jeremy Springman

University of Pennsylvania

Published

January 29, 2024

Formatting

  • Formatting yaml
  • Creating sections
  • Commenting-out text
  • End with rpubs

Formulas

  • Math mode

\[ \widehat{ATE} = \overline{Y}_{treatment\_group} - \overline{Y}_{control\_group} \]

Code Chunks

Figures

Check out Figure 1

Figure 1: Fake data figure

Tables

Descriptive Table of Random Data
Summary statistics: Mean and Standard Deviation
Variable Mean SD
x 0.5200910 0.2942882
y 0.4770270 0.2766775
size 5.6385087 2.6461582
color 0.5130599 0.2326477

Inline Code

Use code within the text to describe your data (n = 50) for a more reproducible workflow.

Python

You’ll need Python installed

```{python}

#| echo: false #| warning: false

import matplotlib.pyplot as plt import numpy as np

Generate random data

np.random.seed(0) x = np.random.rand(50) y = np.random.rand(50) colors = np.random.rand(50) area = (30 * np.random.rand(50))**2 # Bubble sizes

Create scatterplot

plt.scatter(x, y, s=area, c=colors, alpha=0.5) plt.title(‘Random Scatterplot’) plt.xlabel(‘X’) plt.ylabel(‘Y’) plt.show()

```

Using References

Cite cool work by outstanding scholars (Springman 2022) and automatically generate a references list.

References

Springman, Jeremy. 2022. “The Political Economy of NGO Service Provision: Evidence from an Ancillary Field Experiment in Uganda.” World Politics 74 (4): 523–63.